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PayPal

Runs a digital wallet for online payments

Senior Software Engineer - Software Engineering

Backend EngineeringConfirmed live in the last 24 hours
Full-timeSan Jose, CA, USA

About the Job

Requirements

  • At least 3 years of relevant experience and a bachelor's degree, or an equivalent combination of education and experience.
  • A bachelor's degree in Computer Science, Engineering, or a related technical discipline.
  • At least 3 years of professional experience building enterprise-level software, ideally in risk, fraud, or payments systems.
  • Expertise in Java, J2EE, Spring Framework, and Spring Boot, including building scalable RESTful APIs and microservices in cloud environments.
  • Strong understanding of RESTful API design principles and patterns, relational databases such as Oracle and MySQL, and NoSQL stores.
  • Experience building and maintaining CI/CD pipelines using Jenkins or Harness and deploying to major cloud platforms; GCP is preferred.
  • Understanding of distributed systems and cloud infrastructure, including Docker and Kubernetes.
  • Hands-on experience integrating AI/ML into backend systems, including serving and calling machine-learning models and LLM APIs, building feature pipelines, and supporting real-time inference for risk decisioning.
  • Familiarity with generative AI application patterns, including prompt design, RAG, vector stores, agent/tool-calling such as MCP, guardrails, and model risks including hallucination, bias, drift, and prompt injection, as well as responsible AI practices in regulated environments.
  • Experience using AI-assisted development tools such as GitHub Copilot, Claude, or Cursor to improve code quality, accelerate testing, and generate documentation, with the ability to review and validate AI-generated output.
  • Ability to optimize backend performance and scalability in cloud-native environments, including latency, throughput, and cost of AI-enabled services.
  • Experience with observability and monitoring of AI/ML-enabled services, including model performance, drift, decision auditing, and explainability.
  • Ability to troubleshoot complex issues, identify root causes, and implement durable fixes.
  • Track record of leading and collaborating with cross-functional teams in matrix organizations.
  • Ability to translate complex business and risk requirements into effective technical architectures.
  • Ability to partner with Data Scientists, Product Managers, and Architects to productionize ML models and AI capabilities.

Responsibilities

  • Deliver complete solutions across all phases of the Software Development Lifecycle, including design, implementation, testing, delivery, and operations, based on definitions from more senior roles.
  • Advise immediate management on project-level issues.
  • Guide junior engineers.
  • Operate with little day-to-day supervision and make technical decisions based on internal conventions and industry best practices.
  • Apply technical best practices when making decisions.
  • Design and build low-latency, highly available services for the Venmo Risk Platform.
  • Partner with Risk Strategy, Data Science, and Product to turn risk and policy requirements into reliable, auditable platform capabilities.

Desired Qualifications

  • Experience with fraud, risk, or payments platforms.
  • Experience with streaming or messaging technologies such as Kafka and with feature stores.
  • Familiarity with MLOps practices, including model deployment, versioning, A/B testing, and shadow testing.
  • GCP experience.

About the Company

PayPal

Runs a digital wallet for online payments

PayPal runs a digital wallet and checkout button that let people pay online stores and send money to friends and family, and merchants of every size add it to their websites and apps. Its peer-to-peer app Venmo became one of the most common ways for Americans to split bills and pay each other back. Shoppers link a bank account, card or balance once and then pay without retyping details, while PayPal charges merchants a fee on each sale and also earns from currency conversion, consumer loans and interest on customer balances. The company was founded in 1998, was owned by eBay from 2002 until a 2015 spin-off, and is based in San Jose, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Jose, CA
Founded
1998

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